For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human.
For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human.
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DOI：
10.1109/ojemb.2020.2987885
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发表时间：
2020
影响因子：
5.8
通讯作者：
Burdet E
中科院分区：
文献类型：
--
作者：
Ivanova E;Carboni G;Eden J;Kruger J;Burdet E
目的：过去几十年来，用于体能训练和工作辅助的机器人数量激增。如何最好地控制这些接口是未知的，尽管可以说交互应该类似于人类运动辅助。研究方法：我们比较的行为和评估的主题跟踪一个移动的目标与援助（一）轨迹指导（通常用于机器人的体能训练），（二）人类的合作伙伴，和（iii）反应机器人合作伙伴的高木等人。结果：轨迹指导被认为是机器人，而机器人的合作伙伴被认为是人类一样的。然而，轨迹指导比人类伙伴的帮助更受欢迎，后者被认为是不可预测的。机器人伴侣也被认为比人类伴侣更可预测和更有帮助，并且更受欢迎。结论：虽然受试者喜欢依赖于可预测的互动，如在轨迹引导，机器人合作伙伴的控制反应是必不可少的感知人类一样的互动。
Objective: The last decades have seen a surge of robots for physical training and work assistance. How to best control these interfaces is unknown, although arguably the interaction should be similar to human movement assistance. Methods: We compare the behaviour and assessment of subjects tracking a moving target with assistance from (i) trajectory guidance (as typically used in robots for physical training), (ii) a human partner, and (iii) the reactive robot partner of Takagi et al. Results: Trajectory guidance was recognised as robotic, while the robot partner was felt as human-like. However, trajectory guidance was preferred to assistance from a human partner, which was recognised as less predictable. The robot partner also was felt to be more predictable and helpful than a human partner, and was preferred. Conclusions: While subjects like to rely on predictable interaction, such as in trajectory guidance, the control reactivity of the robot partner is essential for perceiving an interaction as human-like.